manantomar / DSRLinks
Deep Successor Representation
☆17Updated 7 years ago
Alternatives and similar repositories for DSR
Users that are interested in DSR are comparing it to the libraries listed below
Sorting:
- Tutorials on learning and using successor representations.☆52Updated 5 years ago
- Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforc…☆58Updated 6 years ago
- Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas☆50Updated 2 years ago
- ☆43Updated 8 years ago
- Option Critic with subgoal discovery by spectral decomposition of the Successor Features Matrix or clustering in Successor features space…☆23Updated 6 years ago
- PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three …☆35Updated 4 years ago
- ☆65Updated last year
- Deep active inference agents using Monte-Carlo methods☆90Updated last month
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆63Updated last year
- 🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment☆34Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆46Updated last year
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Updated 6 years ago
- Deep Variational Reinforcement Learning☆136Updated 3 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆88Updated 4 years ago
- Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings☆96Updated 7 years ago
- Code for paper "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning" by David Janz*, Jiri Hron*, Przemys…☆21Updated 2 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- Implementation of Deepmind's Neural Episodic Control☆58Updated 7 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 6 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated last month
- Invariant Causal Prediction for Block MDPs☆44Updated 5 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆36Updated 4 years ago
- Code for 'The Grand Atari Challenge dataset' paper☆53Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Library to compare and evaluate reward functions☆67Updated last year
- Code release for Learning with Opponent-Learning Awareness and variations.☆149Updated 2 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- This repository contains implementations of the paper VUSFA☆14Updated 4 years ago